1. 10 Oct, 2019 2 commits
    • Dmytro Okhonko's avatar
      Add ctc loss to ASR task (#1233) · c4893ca6
      Dmytro Okhonko authored
      Summary:
      Adds CTC loss and corresponding transformer ctc based models.
      
      Tested with
      `CUDA_VISIBLE_DEVICES=0 python train.py $DATA_PATH --save-dir $SAVE_DIR --max-epoch 30 --task speech_recognition --arch vggtransformer_enc_1 --optimizer adadelta --lr 1.0 --adadelta-eps 1e-8 --adadelta-rho 0.95 --clip-norm 10.0  --max-tokens 10000 --log-format json --log-interval 1 --criterion ctc_loss --user-dir examples/speech_recognition/ --validate-interval=10`
      Pull Request resolved: https://github.com/pytorch/fairseq/pull/1233
      
      Reviewed By: jcai1
      
      Differential Revision: D17856824
      
      Pulled By: okhonko
      
      fbshipit-source-id: f3eac64d3fdd0c37cf8c539dd360cfb610d8a6ef
      c4893ca6
    • Jeff Cai's avatar
      wav2letter integration · 33646ac9
      Jeff Cai authored
      Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/846
      
      Reviewed By: jcai1
      
      Differential Revision: D17845996
      
      Pulled By: okhonko
      
      fbshipit-source-id: 3826fd9a4418496916bf1835c319dd85c89945cc
      33646ac9
  2. 05 Oct, 2019 1 commit
  3. 30 Sep, 2019 1 commit
  4. 29 Sep, 2019 1 commit
  5. 28 Sep, 2019 1 commit
  6. 27 Sep, 2019 3 commits
  7. 24 Sep, 2019 1 commit
  8. 20 Sep, 2019 1 commit
  9. 17 Sep, 2019 2 commits
  10. 05 Sep, 2019 1 commit
    • Roman Rädle's avatar
      Return predicted token for RoBERTa filling mask · 3e3fe722
      Roman Rädle authored
      Summary:
      Added the `predicted_token` to each `topk` filled output item
      
      Updated RoBERTa filling mask example in README.md
      
      Reviewed By: myleott
      
      Differential Revision: D17188810
      
      fbshipit-source-id: 5fdc57ff2c13239dabf13a8dad43ae9a55e8931c
      3e3fe722
  11. 03 Sep, 2019 1 commit
    • altale's avatar
      Fix an error in the command about Hierarchical Neural Story Generation (#1099) · 6c00b338
      altale authored
      Summary:
      When I try to reproduce the experiment in  _Hierarchical Neural Story Generation_, I found the command about generation cannot be executed.
      
      It said that **fairseq-generate: error: unrecognized arguments: --sampling-temperature 0.8**
      In the document, I find:
      ```
      --temperature   temperature for generation
      Default: 1.0
      ```
      And I don't find a parameter named `--sampling-temperature`, so I think the parameter `--sampling-temperature` should be changed to `--temperature`
      Pull Request resolved: https://github.com/pytorch/fairseq/pull/1099
      
      Differential Revision: D17163065
      
      Pulled By: myleott
      
      fbshipit-source-id: 25c430eeee4703f8ec30353825ffec4bb973da0d
      6c00b338
  12. 27 Aug, 2019 1 commit
  13. 22 Aug, 2019 3 commits
  14. 20 Aug, 2019 1 commit
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  18. 13 Aug, 2019 2 commits
  19. 12 Aug, 2019 1 commit
  20. 10 Aug, 2019 1 commit
  21. 09 Aug, 2019 2 commits
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  23. 07 Aug, 2019 2 commits
  24. 05 Aug, 2019 1 commit
  25. 02 Aug, 2019 1 commit